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For Companies At a Glance
- Tasks: Join our team to analyze and visualize large market data sets and develop reporting tools.
- Company: Be part of a leading financial institution focused on risk management and market data excellence.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Make an impact in financial markets while working with cutting-edge technology and a global team.
- Qualifications: Must have a quantitative degree and experience with Python, SQL, and market risk metrics.
- Other info: Ideal for self-starters who thrive in fast-paced environments and enjoy problem-solving.
The predicted salary is between 43200 - 72000 £ per year.
The Market Data Analytics Team is part of the Traded Risk Management (TRM) department,
supporting a wide area of businesses within Financial Markets and Group Treasury. The Market
Data Analytics team is responsible for all aspects of market data used by the TRM department
including market risk, product control, and counterparty credit risk.
Our client is looking for a Senior Market Data Analyst/ Business Analyst to join the Market Data Analytics Team (MDAT) supporting a team focused on the management of market data sourcing,
transformations, models and proxies, as well as the development of dashboard and data analytics
and reporting tools, forming a market data centre of excellence within TRM. We are looking for a
candidate who has proven hands on experience in managing projects, analysing and visualising
large sets of market data, as well as a background in Market Risk and some derivatives pricing
knowledge.
Job Specification
Main Duties and Responsibilities of Role:
Developing and maintaining derived market data and proxy models for multiple asset
classes
Conducting analysis on large data sets, processes and technology systems
Coordinating and implementing market data used in market risk-related internal initiatives
as well as upcoming regulatory changes and strategic market data programmes
Being a point of contact to resolve market data queries from our stakeholders including
Trading, Risk and Model Validation
Collaborating with the global team across the full market data lifecycle including
requirements, architecture, implementation, testing, and release management
Working closely with the TRM teams to understand and deliver on their market data
requirements
Co-ordinating agile projects with IT developers and system support teams to develop and
maintain high market data quality standards on behalf of TRM
Working closely with Model Validation to close out market data related findings
Daily market data validation & reporting, defined by the Market Data Replacement & Proxy
Policy
Candidate Profile
Qualification/Education
Essential: Graduate (at least UK 2:1 degree) in a quantitative subject (i.e. Mathematics,
Computer science, Physics, Chemistry). Economics/Finance degrees considered
with a quantitative focus
Desirable: Professional qualification (e.g., PRM, FRM, CQF)
Experience/Knowledge
Essential:
Statistical and mathematical background
Experience in dealing with large market data sets and associated
technologies
Experience writing in Python to build solutions particularly with large
datasets
SQL experience
Good quantitative level of experience with several asset classes, their risks
and pricing
Strong level of understanding of quantification of market risk metrics (VaR,
HVaR, IRC, etc.) and market risk capital requirements
Desirable:
Experience with and keen interest in financial markets relevant policies,
guidelines and regulations
Understanding of regulatory frameworks as applied internally
Closing out model validation and audit findings
Azure DevOps and Git version control
Experience with systems such as Summit, Murex, Bloomberg, Superset
DAP, Reuters, ActivePivot.is also a plus
Personal Competencies
Essential:
Strong quantitative problem solving skills (this will be tested at interview)
Leadership skills which ideally included managing direct reports in a
previous role
Strong communication skills: Position involves regular interaction with
colleagues in varying degrees of seniority and understanding of new rules
and processes. Candidate should be able to adapt communications to
target audiences ranging from senior executives to junior colleagues
involved/impacted by new rules and processes
Self-starter, proactive, results driven and flexible, has the ability to adjust
quickly to new circumstances
Must be capable of working and delivering independently using time very
efficiently under tight timelines.
Team player with a mindset of empowering others
Delivery focused
Hands on approach with good analytical skills
Good verbal and written communication skills
Fluent in English
Senior Market Data Analyst - VP employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Data Analyst - VP
✨Tip Number 1
Familiarize yourself with the specific market data technologies mentioned in the job description, such as SQL and Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during the interview.
✨Tip Number 2
Brush up on your knowledge of market risk metrics like VaR and HVaR. Being able to discuss these concepts fluently will show that you understand the core responsibilities of the role and can contribute effectively from day one.
✨Tip Number 3
Prepare examples of past projects where you've managed large datasets or coordinated with IT teams. This will help you illustrate your project management skills and your ability to work collaboratively, which are crucial for this position.
✨Tip Number 4
Since communication is key in this role, practice explaining complex market data concepts in simple terms. This will prepare you for interactions with stakeholders at various levels and showcase your strong communication skills.
We think you need these skills to ace Senior Market Data Analyst - VP
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with market data analysis, project management, and quantitative skills. Emphasize your proficiency in Python and SQL, as well as your understanding of market risk metrics.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for financial markets and your relevant experience. Mention specific projects where you managed large datasets or developed market data models, and explain how these experiences make you a great fit for the role.
Highlight Relevant Qualifications: Clearly list your educational background and any professional qualifications such as PRM, FRM, or CQF. Make sure to connect your academic achievements to the skills required for the Senior Market Data Analyst position.
Showcase Communication Skills: Since the role involves regular interaction with various stakeholders, provide examples in your application that demonstrate your strong communication skills. Highlight instances where you successfully conveyed complex information to different audiences.
How to prepare for a job interview at Morgan McKinley
✨Showcase Your Quantitative Skills
Prepare to demonstrate your strong quantitative problem-solving skills during the interview. Be ready to discuss specific examples where you've successfully analyzed large datasets and applied statistical methods to derive insights.
✨Familiarize Yourself with Market Risk Metrics
Make sure you have a solid understanding of market risk metrics such as VaR, HVaR, and IRC. Be prepared to explain how these metrics are calculated and their importance in risk management, as this knowledge will be crucial for the role.
✨Highlight Your Technical Proficiency
Discuss your experience with Python and SQL, especially in the context of handling large datasets. Prepare to share examples of projects where you've utilized these technologies to build solutions or improve data processes.
✨Demonstrate Leadership and Communication Skills
Since the role involves collaboration with various teams, emphasize your leadership experience and ability to communicate effectively with stakeholders at all levels. Share instances where you've led projects or facilitated discussions that resulted in successful outcomes.
